generate_model_from_image

A execute tool on the Kiln MCP server.

SERVERKiln SOURCEcodeofaxel/Kiln

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/kiln/generate-model-from-image.md

WHAT IT DOES

What generate_model_from_image does on Kiln

AI agents invoke generate_model_from_image to trigger actions in Kiln. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why generate_model_from_image is rated High

The name implies executing a model-generation process from an input image, likely triggering compute-intensive operations on the server. With no description available, confidence is reduced, but the action pattern (generate/execute pipeline) places it in Execute.

From the tool's definition Tool name 'generate_model_from_image' suggests running a generative AI/processing pipeline; description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs generate_model_from_image safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Kiln, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generate_model_from_image, this is the rule to start with:

generate_model_from_image Rate-limited

generate_model_from_image stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_model_from_image": {
      "limits": [
        {
          "counter": "generate_model_from_image_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Kiln, apply this rule, and every generate_model_from_image call is checked against it from then on.

FAQ

Questions about generate_model_from_image

What does the generate_model_from_image tool do? +

generate_model_from_image is a execute tool on the Kiln MCP server. It is categorised as a Execute tool in the Kiln MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on generate_model_from_image? +

Register the Kiln MCP server in PolicyLayer and add a rule for generate_model_from_image: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Kiln. Nothing to install.

What risk level is generate_model_from_image? +

generate_model_from_image is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit generate_model_from_image? +

Yes. Add a rate_limit block to the generate_model_from_image rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block generate_model_from_image completely? +

Set action: deny in the PolicyLayer policy for generate_model_from_image. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides generate_model_from_image? +

generate_model_from_image is provided by the Kiln MCP server (codeofaxel/Kiln). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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ai_generate on Percepta MCP Server → All high-risk MCP tools → The MCP Attack Database →

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